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Database Commons

a catalog of worldwide biological databases

Database Profile

ChEA3

General information

URL: https://amp.pharm.mssm.edu/ChEA3
Full name: ChIP-X Enrichment Analysis 3
Description: ChIP-X Enrichment Analysis 3 (ChEA3) is a transcription factor enrichment analysis tool that ranks TFs associated with user-submitted gene sets. The ChEA3 background database contains a collection of gene set libraries generated from multiple sources including TF–gene co-expression from RNA-seq studies, TF–target associations from ChIP-seq experiments, and TF–gene co-occurrence computed from crowd-submitted gene lists.
Year founded: 2019
Last update:
Version:
Accessibility:
Accessible
Country/Region: United States

Classification & Tag

Data type:
Data object:
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Contact information

University/Institution: Icahn School of Medicine at Mount Sinai
Address: Mount Sinai Center for Bioinformatics, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, Box 1603, New York, NY 10029, USA
City: New York
Province/State:
Country/Region: United States
Contact name (PI/Team): Avi Ma’ayan
Contact email (PI/Helpdesk): avi.maayan@mssm.edu

Publications

31114921
ChEA3: transcription factor enrichment analysis by orthogonal omics integration. [PMID: 31114921]
Keenan AB, Torre D, Lachmann A, Leong AK, Wojciechowicz ML, Utti V, Jagodnik KM, Kropiwnicki E, Wang Z, Ma'ayan A.

Identifying the transcription factors (TFs) responsible for observed changes in gene expression is an important step in understanding gene regulatory networks. ChIP-X Enrichment Analysis 3 (ChEA3) is a transcription factor enrichment analysis tool that ranks TFs associated with user-submitted gene sets. The ChEA3 background database contains a collection of gene set libraries generated from multiple sources including TF-gene co-expression from RNA-seq studies, TF-target associations from ChIP-seq experiments, and TF-gene co-occurrence computed from crowd-submitted gene lists. Enrichment results from these distinct sources are integrated to generate a composite rank that improves the prediction of the correct upstream TF compared to ranks produced by individual libraries. We compare ChEA3 with existing TF prediction tools and show that ChEA3 performs better. By integrating the ChEA3 libraries, we illuminate general transcription factor properties such as whether the TF behaves as an activator or a repressor. The ChEA3 web-server is available from https://amp.pharm.mssm.edu/ChEA3.

Nucleic Acids Res. 2019:47(W1) | 712 Citations (from Europe PMC, 2025-12-06)

Ranking

All databases:
155/6895 (97.766%)
Gene genome and annotation:
60/2021 (97.081%)
Expression:
24/1347 (98.293%)
155
Total Rank
659
Citations
109.833
z-index

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Record metadata

Created on: 2019-10-27
Curated by:
Shoaib Saleem [2019-11-25]
Amjad Ali [2019-10-27]